7504 search results - page 257 / 1501 » Computing with Action Potentials |
ESANN
2007
15 years 3 months ago
2007
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
101
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JACIII
2006
15 years 2 months ago
2006
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
101
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IJON
2002
15 years 2 months ago
2002
The need for a neuronal coding scheme that is robust against the corruption of action potentials seems to support the idea of population rate coding, where the relevance of a sing...
IJON
2002
15 years 2 months ago
2002
Neocortical neurons in vivo operate in a high-conductance state which may a ect the dynamics of dendritic integration, but this aspect remains only barely characterized. We invest...
143
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ASWC
2009
Springer
15 years 7 days ago
2009
Springer
People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individua...